Introducing the OpenAI Economic Research Exchange

OpenAI has unveiled the Economic Research Exchange, a new initiative aimed squarely at one of the messiest questions in tech right now: what is AI actually doing to jobs, productivity, and the broader economy. Applications for research projects are open as of this announcement, and OpenAI is inviting economists and researchers to dig into the numbers rather than rely on gut feelings or Twitter takes.

This is not OpenAI's first foray into economic analysis, but it is a notable step toward institutionalizing it. Instead of publishing the occasional internal report, the company is building a standing structure to fund and coordinate outside research. That matters because most of what we hear about AI and employment right now comes from either breathless press releases or doom-laden op-eds, with very little rigorous, peer-reviewed work sitting in between.

The framing OpenAI is using — jobs, productivity, economic impact — suggests they want empirical answers to questions that have mostly been argued in the abstract. Are entry-level coding jobs actually shrinking because of tools like Copilot and GPT-5? Is productivity in customer service, marketing, or legal work measurably higher, or just perceived that way by executives eager to justify subscription costs? Selected research projects will presumably try to answer these with data instead of anecdotes.

There's an obvious self-interest angle here too. OpenAI is under constant political and regulatory pressure about AI's labor market effects, and funding independent-ish research gives the company a stake in shaping that conversation with numbers it helped generate. That doesn't make the research worthless, but it's worth remembering who's writing the checks.